MicEMD: Open-source toolbox for electromagnetic modeling, inversion, and classification in underground metal target detection

被引：0

作者：

Wang, Xiaofen ^{[1
]}

Shi, Haodong ^{[1
]}

Zhang, Xiaotong ^{[1
]}

Wan, Yadong ^{[1
]}

Wang, Peng ^{[2
]}

机构：

[1] Univ Sci & Technol, Sch Comp & Commun Engn, Beijing, Peoples R China

[2] China Unicorn Smart City Res Inst, Beijing, Peoples R China

来源：

SOFTWAREX | 2024年 / 27卷

关键词：

Open-source; Underground metal target detection; Inversion; Classification; Electromagnetic induction (EMI); Extensibility; DIMENSIONALITY REDUCTION; IDENTIFICATION;

D O I：

10.1016/j.softx.2024.101812

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

The development and improvement of electromagnetic underground metal target detection methods can be implemented by a framework that is experimental supporting, modular, and extensible. In this paper, we organize the components of electromagnetic underground metal target detection in a comprehensive, modular, and extensible framework. Furthermore, we present an open-source toolbox in Python called MicEMD (Modeling, Inversion, and Classification in ElectroMagnetic Detection, https://github.com/UndergroundDetection/ MICEMD). The graphical user interface (GUI) and the library with a Python application programming interface (API) are contained in MicEMD. Included in MicEMD are staggered frequency-domain and time-domain electromagnetic forward modeling, least-squares inversion, and data-based classification methods at present. MicEMD's capabilities are presented by two synthetic case studies. The first example shows the application of frequency-domain inversion. The second example shows the application of time-domain classification. It is anticipated that MicEMD offers a flexible tool in electromagnetic underground metal target detection.

引用

页数：8

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